Castle Biosciences (CSTL) Inventory Average (2019 - 2026)
Castle Biosciences' (CSTL) quarterly Inventory Average came in at $10.5 million in Q2 2026, up 38.29% year-over-year from $7.6 million in Q2 2025, and up 1.57% quarter-over-quarter from $10.4 million in Q1 2026.
Castle Biosciences (CSTL) Inventory Average (2019 - 2026) Analysis & Trends
Castle Biosciences has disclosed Inventory Average across 8 years of filings, most recently posting $10.5 million for Q2 2026.
- In Q2 2026, Inventory Average rose 38.29% year-over-year to $10.5 million; the TTM figure through Jun 2026 stood at $10.5 million (up 38.29% YoY), while the FY2025 annual figure was $9.2 million, up 14.38% from the prior year.
- Inventory Average came in at $10.5 million for Q2 2026 at Castle Biosciences, up from $10.4 million in the prior quarter.
- In the past five years, Inventory Average ranged from a high of $10.5 million in Q2 2026 to a low of $2.2 million in Q1 2022.
- Average Inventory Average over 5 years is $6.6 million, with a median of $7.3 million recorded in 2024.
- Year-over-year, Inventory Average surged 94.46% in 2023 and fell 3.87% in 2025.
- Over 5 years, Inventory Average stood at $3.9 million in 2022, then jumped by 76.19% to $6.9 million in 2023, then rose by 7.26% to $7.4 million in 2024, then increased by 28.54% to $9.5 million in 2025, then grew by 11.3% to $10.5 million in 2026.
- Per Business Quant data, the three most recent Inventory Average figures were $10.5 million in Q2 2026, $10.4 million in Q1 2026, and $9.5 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory Avg. (Qtr) |
|---|---|---|---|---|---|
| 1 | Natera | 53.05 Bn | 51.95 Bn | 486.15 Mn | 75.53 Mn |
| 2 | Quest Diagnostics | 27.19 Bn | 26.87 Bn | 1.03 Bn | 229.00 Mn |
| 3 | Labcorp Holdings | 25.93 Bn | 25.81 Bn | 1.11 Bn | 529.95 Mn |
| 4 | Guardant Health | 23.97 Bn | 22.91 Bn | 219.03 Mn | 94.66 Mn |
| 5 | Tempus AI | 13.64 Bn | 12.82 Bn | 274.25 Mn | 52.67 Mn |
| 6 | Caris Life Sciences | 8.47 Bn | 7.68 Bn | 182.38 Mn | 100.04 Mn |
| 7 | Sotera Health | 5.35 Bn | 4.99 Bn | 177.96 Mn | 56.93 Mn |
| 8 | BillionToOne | 4.96 Bn | 4.41 Bn | 77.11 Mn | 20.18 Mn |
| 9 | Adaptive Biotechnologies | 4.55 Bn | 4.21 Bn | 51.39 Mn | 10.85 Mn |
| 10 | Castle Biosciences | 1.08 Bn | 811.36 Mn | 79.85 Mn | 10.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.52 Mn |
| Mar 31, 2026 | 10.36 Mn |
| Dec 31, 2025 | 9.45 Mn |
| Sep 30, 2025 | 8.51 Mn |
| Jun 30, 2025 | 7.61 Mn |
| Mar 31, 2025 | 7.49 Mn |
| Dec 31, 2024 | 7.35 Mn |
| Sep 30, 2024 | 7.29 Mn |
| Jun 30, 2024 | 7.83 Mn |
| Mar 31, 2024 | 7.79 Mn |
| Dec 31, 2023 | 6.86 Mn |
| Sep 30, 2023 | 5.95 Mn |
| Jun 30, 2023 | 5.32 Mn |
| Mar 31, 2023 | 4.25 Mn |
| Dec 31, 2022 | 3.89 Mn |
| Sep 30, 2022 | 3.58 Mn |
| Jun 30, 2022 | 2.86 Mn |
| Mar 31, 2022 | 2.19 Mn |
| Dec 31, 2021 | 2.20 Mn |
| Sep 30, 2021 | 2.25 Mn |
Castle Biosciences Inventory Average API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=inventory-average&ticker=CSTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory-average", "ticker": "CSTL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=inventory-average&ticker=CSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();